How ONNX Model Formats Break Explainable AI for MLOps
By Nick Allyn5 min read
A detailed technical analysis has exposed a critical MLOps blind spot for trustworthy AI: the very model formats optimized for fast and portable inference, like ONNX, are fundamentally incompatible with the gradient-based methods essential for explainability. An insightful report published on the DEV Community argues that many models are rendered “unexplainable” not by complex algorithms,